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Condition Monitoring Systems for Railway Switches and Crossings (S&C) 2022

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Optical Sensors".

Deadline for manuscript submissions: closed (30 June 2022) | Viewed by 281

Special Issue Editor


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Guest Editor
Section of Railway Engineering, Department of Engineering Structures, Faculty of Civil Engineering and Geosciences, Delft University of Technology, 2628CN Delft, The Netherlands
Interests: railway engineering; design optimization, parameter identification; computational mechanics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Sensor-based condition monitoring is an important component of proper and timely railway maintenance. Development and applications of the methods for condition monitoring and smart maintenance for railway switches and crossings (S&C) are lagging behind the rest of the railway infrastructure. Thus, the maintenance actions on railway S&C and are mainly reactively performed after detection of visible damage, which is obviously too late. These repair/replacement actions result in unplanned disruptions to railway traffic that dramatically increase the total costs of railway infrastructure.

In this Special Issue, you are invited to submit contributions describing development and implementation of condition monitoring and smart maintenance solutions for railway switches and crossings.

The Special Issue will cover the following (but is not limited to) topics:

  • Sensors and measurements techniques for instrumentation and wayside condition monitoring of railway S&C;
  • Measurement-based methods for condition assessment of railway S&C;
  • Algorithms for defects (in rails, fastenings, ballast bed, soil, etc.) localization and tracking;
  • Modelling of the short- and long-term dynamic behaviour of turnouts and their use in condition monitoring systems;
  • Degradation models for railway S&C;
  • Development of sensor data-based condition assessment indicators for railway S&C;
  • Signal processing, data fusion, and deep learning in condition monitoring systems for railway S&C;
  • Long-term monitoring of railway crossings S&C;
  • Sensor-based maintenance technologies for railway S&C.

Dr. Valeri Markine
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Condition Monitoring Systems for Railway Switches and Crossings

Published Papers

There is no accepted submissions to this special issue at this moment.
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